NMR中InS体系的交叉极化和各向同性混合

常规的积算符法不能获得自旋为１／２ＩｎＳ（ｎ≥２）体系的密度算符在交叉极化和各向同性混合过程随时间演化的解析解。作者提出用投影算符法解决此问题，并以Ｉ２Ｓ体系的交叉极化过程为列分析了获得无相位畸变和强度失真ＮＭＲ谱的方法。     

L函数的一类二次均值公式

设整数ｎ≥３，定义二次均值 其中表示对模ｎ的所有偶特征求和．证明了下列公式： 其中 φ（ｎ）为Ｅｕｌｅｒ函数。     

蔸兰立枯病原菌及颉抗菌防治的研究

本文对１３种蔸兰，２４９个发病器官进行了病原真菌的分离，共获得真菌菌株１９２个，其中立枯丝核菌（Ｒｈｉｚｏｃｌｏｎｉａｓｏｌａｎｉｋｕｈｎ）有１１８个菌株，占整个真菌菌株的６１．４５％，用分离的立枯丝核菌ＹＫ－２６２，菌株对同色蔸兰等４种蔸兰进行了回接试验，共接４２株１３８片叶，发病叶１１２片，发病率平均８８．９％，而对照为８．３％．证明立枯丝核菌是该病的病原菌。用菌丝融合法测试，确定是一个新的菌丝融合群，按国际编号定为ＺＡＧ－８群。绿色木霉菌７８菌株对该病原菌有明显的颉抗作用，初步测定对同色蔸兰立枯丝核菌的防治有效率为８８．８％～９３．３％；对长瓣蔸兰为７７．８％～８１．１％；对带叶蔸兰为７４％．     

供需网的一个节点:供应链协同管理与决策

从供应链决策分析、决策支持技术及决策支持方法等几个方面探讨了供应链协同管理决策的理论和方法 .最后以生产商和销售商为例研究了双方共同获利的、协同决策的建模方法 .由此得出 ,为了实现供应链为增值链 ,减少开销 ,双方共同获利 ,协同决策是非常重要的 .     

STABILITY CRITERIA FOR A CLASS OF UNCERTAINSYSTEMS WITH TIME—DELAY

Some stability criteria are obtained for a class of uncertain systems with time-delay usingLyapunov functional and analytic techniques. It is easy to check the criteria by making use of theboundedness of the uncertainties.     

半导体激光器行波速率方程的研究

考虑了ＩｎＧａＡｓＰ半导体激光器的俄歇效应后，对描述稳态运行的半导体激光器的行波速率方程组进行了修正，求得了隐函形式的解析解，并以此对激光器的一些重要持性进行了讨论。     

Technical Notes ：STUDIES ON THE VALUE OF SECONDARY MARKET TO THE SUPPLY CHAIN

This paper investigates the impact of a secondary market, where retailers can buy and sell excessinventories, on the supply chain. We develop a two-period model with a single manufacturer and tworetailers. At the beginning of the first period the retailers order and receive products from themanufacturer, but at the beginning of the second period, they can trade surplus products betweenthemselves in the secondary market. We investigate the impact of the correlated dependence ofretailers' demand on both the quantity effect and the allocation effect under the secondary market.Lastly,we study potential strategies for the manufacturer to increase sales with the existence of thesecondary market.     

管道纺包芯纱的研究

本文研究了在管道纺纱机上不添加构件而进行包芯纱的纺制。分析了其包芯纱的成纱机理。观察了实际成纱的横截面,证实了棉纤维能够均匀地、完全地包覆在芯丝的周围。也对不同性质的芯丝所纺包芯纱的结构作了观察,并对不同成纱的性质随速度增加而变化的规律作了研究。     

Non-Minimum Phase Nonlinear System Predictive Control Based on Local Recurrent Neural Networks

Abstract: After a recursive multi-step-ahead predictor for nonlinear systems based on local recurrent neural networks isintroduced, an intelligent PID controller is adopted to correct the errors including identified model errors and accumulatederrors produced in the recursive process. Characterized by predictive control, this method can achieve a good controlaccuracy and has good robustness. A simulation study shows that this control algorithm is very effective.